Policy presence
No source-backed public AI policy or guidance record is present in this profile.
The current public tracker record does not contain a source-backed claim that establishes a policy or guidance source.
Beijing, China (Mainland)
Beijing Jiaotong University
Record status
Review: Agent reviewed
Policy profile
Review: Machine candidate
AI disclosure
No source-backed public claim about AI disclosure or acknowledgement is present in this profile.
The current public tracker record does not contain claim evidence about disclosing, acknowledging, citing, or declaring AI use.
Coursework
Beijing Jiaotong University has 3 source-backed public claims for coursework; deterministic analysis status: required.
Exams
Beijing Jiaotong University has 3 source-backed public claims for exams; deterministic analysis status: required.
Privacy and data entry
No source-backed public claim about privacy or data-entry restrictions is present in this profile.
The current public tracker record does not contain claim evidence about personal, confidential, sensitive, regulated, or student data entry into AI tools.
Academic integrity
No source-backed public claim about academic-integrity treatment of AI use is present in this profile.
The current public tracker record does not contain claim evidence about AI use under academic integrity, misconduct, dishonesty, plagiarism, or cheating rules.
Approved tools
No source-backed public claim identifying approved or licensed AI tools is present in this profile.
The current public tracker record does not contain claim evidence that identifies institutionally approved, licensed, procured, or enterprise AI tools.
Named AI services
No source-backed public claim naming a specific AI service is present in this profile.
The current public tracker record does not contain claim evidence naming a specific AI service.
Teaching guidance
Beijing Jiaotong University has 3 source-backed public claims for teaching guidance; deterministic analysis status: recommended.
Research guidance
No source-backed public claim about research AI use is present in this profile.
The current public tracker record does not contain claim evidence about research use, publication ethics, research data, grants, or human-subjects compliance.
Security and procurement
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
AI tools
No tool-level evidence is published for this record yet. Broad AI tool mentions are not expanded into named tool conclusions.
Evidence-backed claims
3 reviewed evidence-backed public claim
Teaching
Beijing Jiaotong University's 2023-2024 undergraduate teaching quality report says the university opened liberal-arts/science-track AI general courses and aimed for AI course coverage for the 2024 undergraduate cohort, except where programs already include AI courses.
Review: Agent reviewed
Normalized value: 2024 undergraduate cohort AI-course coverage through AI general foundation/application courses, with duplicate courses avoided where programs already include AI courses.
Original evidence
Evidence 1为提高学生数字素养，按文科、理工科分类开设“人工智能通识基础”“人工智能基础及应用”，专业课程已包含人工智能类课程则无需重复开设，做到 2024 级人工智能课程全覆盖；
Localized display only
To improve students' digital literacy, BJTU opened AI general foundation and AI foundation/application courses by humanities/science tracks, avoiding repeats where programs already include AI courses, to cover the 2024 cohort.
Teaching
For the Zhan Tianyou College-related 2024 undergraduate training model described in the report, BJTU required majors in the information ability module to add AI-specialized courses categorized as AI foundation, AI expansion, and AI frontier courses.
Review: Agent reviewed
Normalized value: Zhan Tianyou College 2024 training model information ability module includes AI-specialized courses in foundation, expansion, and frontier categories.
Original evidence
Evidence 1要求各专业在信息能力模块中加入人工智能（AI）专项课程，按课程梯度分为 AI 基础类、AI 拓展类、AI 前沿三类。
Localized display only
The report says each major was required to add AI-specialized courses in the information ability module, divided by course gradient into AI foundation, AI expansion, and AI frontier categories.
Teaching
BJTU's undergraduate teaching quality report says the university developed AI-enabled course pilots using large-model technologies around knowledge graphs, 24-hour intelligent learning companions, AI teaching assistants, and AI mentors, with experience to be promoted across the university.
Review: Agent reviewed
Normalized value: 22 AI-enabled course pilots using large-model technologies, knowledge graphs, intelligent learning companions, AI teaching assistants, and AI mentors.
Original evidence
Evidence 1开展 AI 赋能课程开发及建设。依托智慧课程平台，利用人工智能大模型等先进技术，围绕知识图谱、24 小时智能学伴、AI 助教和 AI 导师等内容开展 22 门试点课程建设，并将试点建设经验向全校进行推广，打造全覆盖式人工智能课程体系。
Localized display only
BJTU reported 22 AI-enabled course pilots using large-model technologies around knowledge graphs, 24-hour intelligent learning companions, AI teaching assistants, and AI mentors, with pilot experience to be promoted across the university.
Candidate claims
0 machine or needs-review claim
Official sources
1 source attribution
北京交通大学2023-2024学年本科教学质量报告
bksy.bjtu.edu.cn